Video from AHRA 2022: Lawrence Tanenbaum on AI for MRI

Jul 12, 2022

The adoption of artificial intelligence (AI) is already starting to change the practice of radiology -- and its potential is boundless. In a July 11 presentation at AHRA 2022, Dr. Lawrence Tanenbaum of RadNet discusses the potential of AI in MRI.

The adoption of artificial intelligence (AI) is already starting to change the practice of radiology -- and its potential is boundless. In a July 11 presentation at AHRA 2022, Dr. Lawrence Tanenbaum of RadNet discusses the potential of AI in MRI.
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Representative maximum-intensity projections of five patients (patients 3, 5, 7, 10, and 11) comparing Ga-68 NYM046 and F-18 FDG. Both tracers showed specific retention in bone and lymph node metastases (patients 10 and 11). Ga-68 NYM046 PET/CT outperformed F-18 FDG PET/CT in detecting primary tumors, lung metastases, and pleural metastases (patients 3, 5, 7, and 11). Image available for republishing under Creative Commons license (CC BY 4.0 DEED, Attribution 4.0 International) and courtesy of the Journal of Nuclear Medicine.
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